Triple
T8256677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cycle of Lion-Mher |
E193086
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Mher |
E193089
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mher | Statement: [cycle of Lion-Mher, hasMainCharacter, Mher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mher Context triple: [cycle of Lion-Mher, hasMainCharacter, Mher]
-
A.
Little Mher
chosen
Little Mher is a heroic figure from the Armenian epic cycle "Daredevils of Sassoun," known as a mighty warrior and the son of the legendary hero David of Sassoun.
-
B.
Martunashen
Martunashen is a village in the disputed Nagorno-Karabakh region, known for being one of the sites affected by the Soviet Azerbaijani security forces’ Operation Ring in 1991.
-
C.
Sahune
Sahune is a small commune in southeastern France’s Drôme department, known for its scenic setting along the Eygues River amid Provençal landscapes.
-
D.
Aram
Aram is a common Armenian given name with deep historical and cultural significance in Armenian heritage.
-
E.
Vostanik
Vostanik is the birth name of Arshile Gorky, the influential Armenian-American painter associated with Abstract Expressionism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78fb91d08190904c59ccc0cd444a |
completed | March 31, 2026, 7:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd355bef508190894bd01ec39e83f6 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 5:49 p.m.